PreProcessor¶

class torch_ecg._preprocessors.PreProcessor[source]¶

Bases: ReprMixin, ABC

Base class for preprocessors.

abstract apply(sig: ndarray, fs: Real) → Tuple[ndarray, int][source]¶

Apply the preprocessor to sig.

Parameters:

sig (numpy.ndarray) –
The ECG signal, can be
- 1d array, which is a single-lead ECG;
- 2d array, which is a multi-lead ECG of “lead_first” format;
- 3d array, which is a tensor of several ECGs, of shape (batch, lead, siglen).
fs (numbers.Real) – Sampling frequency of the ECG signal.